Microsoft Analyzing Data with Microsoft Power BI : DA-100

DA-100 Exam Simulator
  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Updated: Jul 23, 2026
  • Q & A: 150 Questions and Answers

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About Microsoft DA-100 Exam Braindumps

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Certification Opportunities

Upon completion of this single exam and obtaining the certification, the path doesn’t end. The candidates can pursue other Microsoft certificates to expand their competence area. These include the options such as Microsoft Certified: Azure Data Engineer Associate and Microsoft Certified: Azure Data Scientist Associate, to name a few.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

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This certification exam covers a range of skills that the applicants need to develop competency in before sitting for it. These skills are broken into topics and subtopics. Here are the highlights of the subject areas covered in Microsoft DA-100:

  • Visualize Data: 20-25%

    Within this domain, the examinees should possess the ability to create reports because the certification test will measure their capability to perform the technical tasks in this area. They will also need to demonstrate their skills in creating dashboards, including setting mobile view, using Q&A features, managing tiles on dashboards, and configuring data classification. The individuals should also be able to improve reports for usability. They will be required to demonstrate their skills in configuring bookmarks, applying to sort, creating custom tooltips, exporting report data, and configuring Sync Slicers.

  • Model Data: 25-30%

    This topic equips the candidates with the skills and knowledge on how to design the data model. The questions from this subject area will measure their expertise in defining tables, quick measures, role-playing dimensions, cross-filter direction and relationship’s cardinality, and precise level of data granularity. It will also measure competence in the development of data models, creation of measures with the use of DAX, and optimization of model performance.

  • Maintain & Deploy Deliverables: 10-15%

    The applicants for the Microsoft DA-100 exam should also have competence in managing datasets. This involves configuring datasets scheduled refresh, certifying or promoting Power BI content, and providing access to the datasets. The learners also need to have the skills in creating and managing workspaces, creating and configuring workspaces, assigning workspace roles, and using deployment pipelines.

  • Analyze Data: 10-15%

    This part will measure the competence of the students in improving reports to reveal insights. These include competence in applying conditional formatting, personalizing visuals, exploring statistical summary, and using Q&A visuals. It will also evaluate their skills in performing advanced analysis.

  • Prepare Data: 20-25%

    This section of the certification exam will evaluate the ability of the candidates to acquire data from various data sources. They also must be able to profile data, which includes identifying data anomalies and examining data structure. It also requires interrogating data statistics and column properties. In addition, the test takers should have competence in cleaning, transforming, and loading the data. This involves resolving inconsistencies, identifying the relevant keys for joins, combining queries, and resolving data import errors.

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As we all know, DA-100 exam has been a heated discussion in the industry, and its influence even has been extended to all professions and trades in recent years. Passing the DA-100 exam test means more opportunities of promotions and further study, which undoubtedly a wealth of life. To deliver on the commitments that we have made for the majority of candidates, we prioritize the research and development of our Analyzing Data with Microsoft Power BI reliable exam paper, establishing action plans with clear goals of helping them get the DA-100 exam certificate. Our Analyzing Data with Microsoft Power BI exam training material engages our working staff to understand customers' diverse and evolving expectations and incorporate that understanding into our strategies. Therefore, our Analyzing Data with Microsoft Power BI latest pdf vce undoubtedly is the key to help you achieve dreams.

Microsoft DA-100 exam simulator

Career Opportunities and Pay

After getting through with DA-100 exam and earning the Microsoft Certified: Data Analyst Associate certification, you will be able to offer more for big business companies that need more analytical power that Excel cannot provide. This opens up multiple job opportunities with decent average annual salaries. Below are some of them as covered by Payscale:

  • Web Data Analyst: $67k.
  • IT Operation Analyst: $56k;
  • Data Analyst: $61k;

Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Visualize the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Format and configure visualizations
  • Use the Q&A feature
  • Pin a live report page to a dashboard
  • Configure navigation for a report
  • Manage tiles on a dashboard
  • Configure Sync Slicers
  • Configure bookmarks
  • Use drillthrough and cross filter
  • Add visualization items to reports
  • Use the selection pane
  • Apply sorting
  • Enrich reports for usability
  • Add a dashboard theme
  • Design and configure for accessibility
  • Create dashboards
  • Apply slicing and filtering
  • Set mobile view
  • Design reports for mobile devices
  • Create custom tooltips
  • Configure data classification
  • Configure data alerts
  • Add an R or Python visual
  • Choose an appropriate visualization type
  • Export report data
  • Edit and configure interactions between visuals
  • Import a custom visual
  • Configure the report page
  • Drilldown into data using interactive visuals
  • Configure conditional formatting
  • Configure automatic page refresh
  • Create reports

Microsoft DA-100 Exam Syllabus Topics:

SectionWeightObjectives
Deploy and maintain deliverables10%- Manage datasets
  • 1. Configure a dataset scheduled refresh
  • 2. Configure row-level security group membership
  • 3. Configure cross-workspace sharing
  • 4. Provide access to datasets
- Create and manage workspaces
  • 1. Assign workspace roles
  • 2. Configure and update a workspace app
  • 3. Create and configure a workspace
Analyze the data15%- Perform advanced analysis
  • 1. Perform What-if analysis
  • 2. Identify outliers
  • 3. Use advanced analytical custom visuals
  • 4. Use the Analyze feature
- Enhance reports for usability and storytelling
  • 1. Edit and configure interactions between visuals
  • 2. Apply sorting
  • 3. Configure navigation for a report
  • 4. Configure bookmarks
  • 5. Group and layer visuals
  • 6. Create custom tooltips
  • 7. Configure sync slicers
Visualize the data25%- Enforce accessibility
  • 1. Use accessibility features
  • 2. Design accessible reports
  • 3. Configure tab order
- Create dashboards
  • 1. Manage tiles on a dashboard
  • 2. Use the Q&A feature
  • 3. Configure data alerts
  • 4. Set mobile view
- Create reports
  • 1. Format and configure visualizations
  • 2. Import a custom visual
  • 3. Configure conditional formatting
  • 4. Create and manage bookmarks
  • 5. Add visualization items to reports
  • 6. Choose an appropriate visualization type
  • 7. Apply slicing and filtering
Model the data30%- Create measures by using DAX
  • 1. Create calculated measures
  • 2. Use DAX logical functions
  • 3. Use DAX aggregation functions
  • 4. Implement Time Intelligence using DAX
  • 5. Create semi-additive measures
- Develop a data model
  • 1. Create calculated tables
  • 2. Create hierarchies
  • 3. Create calculated columns
  • 4. Implement row-level security roles
- Design a data model
  • 1. Configure table and column properties
  • 2. Define a relationship's cross-filter direction and security filtering
  • 3. Define the tables
  • 4. Define quick measures
  • 5. Design and implement role-playing dimensions
- Optimize model performance
  • 1. Optimize Power Query transformations
  • 2. Improve performance by identifying and removing unnecessary rows and columns
  • 3. Improve performance by choosing optimal data types
Prepare the data20%- Get data from different data sources
  • 1. Select a shared dataset or create a local dataset
  • 2. Choose an appropriate Power BI data source
  • 3. Change data source settings
  • 4. Select a storage mode
  • 5. Identify and connect to a data source
- Clean the data
  • 1. Resolve inconsistencies, unexpected or null values, and data quality issues
  • 2. Evaluate data, including data statistics and column properties
  • 3. Resolve data import errors
- Transform and load the data
  • 1. Select appropriate column data types
  • 2. Define relationship cardinality and cross-filter direction
  • 3. Create and transform columns
  • 4. Create and transform tables
  • 5. Design a star schema
- Profile the data
  • 1. Examine data structures
  • 2. Interpret data distribution and variance
  • 3. Identify data anomalies

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